distilroberta-base-CoLA

distilroberta-base-CoLA

This model is a fine-tuned version of distilroberta-base on the GLUE COLA dataset. It achieves the following results on the evaluation set:

• Loss: 0.4974
• Matthews Correlation: 0.5678

Model description

Mostly as a litmus test to see how it fares vs. the textattack one (should be similar) & associated metrics:

{
    "epoch": 4.0,
    "eval_loss": 0.49744734168052673,
    "eval_matthews_correlation": 0.5678267214677118,
    "eval_runtime": 1.9223,
    "eval_samples": 1043,
    "eval_samples_per_second": 542.586,
    "eval_steps_per_second": 135.777
}

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 6e-05
• train_batch_size: 32
• eval_batch_size: 4
• seed: 32010
• distributed_type: multi-GPU
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 4.0
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.8.0
• Tokenizers 0.13.1